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Hi there 👋

  • 🔭 I’m currently working on computer vision projects (ocr, robotics, etc).
  • 💬 Ask me about Computer Vision related thing (sensors, library, etc).
  • 😄 Pronouns: He/Him
  • 📫 How to reach me: send me an email.

gachiemchiep's github stats

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gachiemchiep Summary

vugia truong's Projects

6d-pat icon 6d-pat

6D - Pose Annotation Tool (6D-PAT) - is a tool that allows the user to load a set of images and also a set of 3D models and annotate where in the 2D image the 3D object ist placed.

asr_lib_ism icon asr_lib_ism

This package integrates a library for scene recognition based on implicit shape models (ISM) to the ros environment

augmentor icon augmentor

Image augmentation library in Python for machine learning.

basic_next_best_view icon basic_next_best_view

ROS node implementation of a simple Next Best View algorithm based on voxel grid, view sphere sampling, ray tracing and unknown voxel count.

clearml icon clearml

ClearML - Auto-Magical CI/CD to streamline your ML workflow. Experiment Manager, MLOps and Data-Management

coco-annotator icon coco-annotator

:pencil2: Web-based image segmentation tool for object detection and localization

craft-pytorch icon craft-pytorch

Official implementation of Character Region Awareness for Text Detection (CRAFT)

deblurgan icon deblurgan

Image Deblurring using Generative Adversarial Networks

deep-high-resolution-net.pytorch icon deep-high-resolution-net.pytorch

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

detect-object-and-6d-pose icon detect-object-and-6d-pose

(1) 3D scan object by Baxter. (2) Label objects automatically by depth camera and (3) train Yolo. (4) [TODO; NOT DONE YET!!!] Finally, detect object and fit 3D model to know the 6D pose.

dmlplayground icon dmlplayground

This repository contains code for training and evaluating various Deep Metric Learning (DML) algorithms on the CUB200-2011, Cars196 and SOP datasets.

dope-ros-d435 icon dope-ros-d435

Object 6DoF Pose Estimation for Assembly Robots Trained on Synthetic Data - ROS Kinetic/Melodic Using Intel® RealSense D435

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